Since 2014, Acast has been creating the world’s most valuable podcast marketplace, building the technology which connects podcast creators, advertisers and listeners. Its marketplace spans more than 135,000 podcasts, 2,700 advertisers and c.1 billion quarterly listens.
Crucially, those listens are monetized wherever they happen - across any podcasting app or other listening platform. The company operates worldwide and is headquartered in Stockholm, Sweden. Acast is listed on the Nasdaq First North Premier Growth Market.

ABOUT THE ROLE

In just a few seconds, Acast’s Dynamic Ad Insertion platform dynamically sources, selects, and splices ads into uniquely personalised streams for millions of listens every day, all while optimising towards the best possible return for the creator, advertiser, and of course the listener themselves.
As a Data Engineer in Ad Delivery, you’ll be working in the team that owns Acast’s transcription services, audience indexing and contextual targeting capabilities to ensure the right ad gets served to the right audience, on the right podcast. To do this the team also maintains critical services that serve delivery information to teams around Acast. The team utilises data from all over the business to forecast inventory and availability to ensure we sell ads and sponsorship in the correct places.
Your daily responsibilities are centered around development of our data pipelines and services. You will collaborate with a team of data and software engineers, an Engineering Manager and a Product Manager, to plan and execute on innovative solutions that have a significant impact on our business.

WHAT YOU´LL DO

You will work in an experienced team that is distributed across Europe. In collaboration with your team you will maintain and develop targeting capabilities, while also communicating and collaborating with peer teams and both internal and external stakeholders.
While audience indexing and targeting capabilities are the team’s primary focus, you’ll also be working on our transcription service and forecasting engine which involves time-series forecasting and modeling.
The team owns critical services part of our real time impression pipeline that requires 24-hour support, for which you will be expected to partake in the on-call rotation.